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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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1+ years of experience in machine learning techniques such as classification, regression, decision trees, neural nets, large language models, recommender systems, natural language processing, clustering, anomaly detection, sequential pattern discovery, text mining, and familiar with the latest trends and applications of generative AI.
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This is a brand new internship that will work with data scientists and engineers to leverage machine learning, natural language processing, deep learning and other advanced analytics approaches to support our business partners in Supply Chain, Sales, Digital Marketing, Category and Revenue Management.
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Bachelor’s degree, or master’s degree in computer science, Informatics, Statistics, Applied Mathematics, Data Science, Machine Learning, or Artificial Intelligence and 8-10 years’ experience in industry or technology consulting.
$325,800 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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4+ years of experience with data science, including having a deep knowledge & mastery of Python, machine learning & deep learning, and associated data science packages (e.g., sci-kit-learn, TensorFlow, PyTorch.
$163,100 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Deep understanding of AI technologies including machine learning (ML), natural language processing, computer vision, deep learning, retrieval-augmented generation (RAG), and generative AI models.
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The position is open to applicants employing any methodology in their research and teaching, but applicants with specializations in computational approaches at the intersection of Science & Technology and International Affairs such as GIS, machine learning, deep learning, natural language processing, Bayesian statistics, network analysis, or other computational tools are especially encouraged to apply.
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Minimum of 5 years of experience in machine learning or deep learning engineering or demonstrated proficiency in Natural Language Processing (NLP) or Natural Language Generation (NLG.
$336,900 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Data Science, Machine Learning, and/or Deep Learning experience. Utilize Machine Learning and Data Engineering techniques to support new product offerings and drive thought leadership in the technology and financial marketplaces.
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Leveraging your expertise in AI, machine learning, and data science, you will collaborate with cross-functional teams to develop innovative AI solutions that address complex business challenges and unlock new opportunities for growth.
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MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms.
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From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We are seeking a Data Science Manager who will use their knowledge and experience applying statistical and data science methods (supervised learning, unsupervised learning, time series forecasting, neural networks, deep learning, and natural language processing), along with programming skills to generate meaningful insights for portfolio decisions made by our investment, risk, and client professionals.
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Minimum Qualifications / Skills · MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms.
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Build and fine-tune deep learning and machine learning models, with an emphasis on large language models. Minimum of 3 years of experience working with deep learning models using real-life (“industry”) data.
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